Plots issue

[shane1236]

I'm plotting the few figures however, unable to plot below is my code. Kindly guide me.
#!/usr/bin/env python3

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121

import matplotlib.pyplot as plt import matplotlib.gridspec as gspec import numpy as np import seaborn as sns   def plot_res(charge_arr, status_arr, P_arr, power_vec, time_vec, max_charge,fignum=None):         #    # status pallete (-1...6)     status_pal = ["#909090",   #gray   = -1 -always noted                   "#000000",   #black  =  0 - only Noted                   "#ffffff",   #white  =  1 - Cells                   "#ffbb00",   #orange =  2 - available                   "#ff0000",   #red    =  3 - info                   "#00FF00",   #green  =  4 - starting                   "#ff00ff",   #purple  = 5 - Not happened                   "#0000ff"]   #blue   =  6 - newly       # status pallete (-1...6)     status_pal = sns.cubehelix_palette(8, rot=-1, dark=0.1, light=1,                                        reverse=False)   #     new one     status_pal = ["#cccccc",  # gray   = -1 - always noted                   "#0a0a0a",  # dark blue  =  0 - only Noted                   "#ffcd1d",  # yellow =  1 - Queued                   "#27de17",  # l. green=  2 - Not ready                   "#ff3917",  # red    =  3 - Forced                   "#182050",  # blue =  4 - Ready                   "#ff00ff",  # purple  = 5 - In Use, discharging                   "#0000ff"]  # blue   =  6 - In Use, charging     # same palette, a bit more faded     status_pal = ["#cccccc",  # gray   = -1 - N/A                   "#0a0a0a",  # dark blue  =  0 - An idea                   "#ffd74a",  # yellow =  1 - not new                   "#52e445",  # l. green=  2 - Charging (available)                   "#ff6145",  # red    =  3 - Charginf(Forced)                   "#464c73",  # blue  =  4 - Ready                   "#ff00ff",  # purple  = 5 - northern,                   "#0000ff"]  # blue   =  6 - In line,     # same palette, a bit less faded     status_pal = ["#cccccc",  # gray   = -1 - N/A                   "#000000",  # black  =  0 - Not in use                   "#ffd234",  # yellow =  1 - Queued                   "#2f3661",  # d. blue=  2 - Computer                   "#ff4d2e",  # red    =  3 - wine roots                   "#347436",  # green  =  4 - Ready                   "#ff00ff",  # purple  = 5 - In Use,                   "#0000ff"]  # blue   =  6 - yellow priest         # charge percentage palette, extremes modified to highlight min and max     charge_pal = sns.cubehelix_palette(10*max_charge, reverse=True) #    charge_pal[0] = [0.8, .8, .8] #    charge_pal[1] = [0, 0, 0] #    charge_pal[-1] = [0, .7, 0]     charge_pal = sns.cubehelix_palette(3*max_charge, reverse=True, rot=0,                                        hue=0, dark=0, light=.8) #    charge_pal = (np.linspace(0, 1, 101)*np.ones((3, 1))).T     charge_pal[-1] = [0.20392157, 0.45490196, 0.21176471]     charge_pal[0] = [.8, .8, .8]       step = int(np.round(1/np.median(np.diff(time_vec))))     xticks = np.arange(len(time_vec) + 1)[::step]     xlabels = np.remainder(time_vec, 24)[::step].astype(int)     plt.show(sns)           if fignum is None:         fignum = plt.figure(figsize=(16, 6)).number     else:         plt.figure(fignum)         plt.clf()       fig = plt.figure(fignum, figsize=(50, 20))     ax = fig.subplots(3, 2, sharex='col',#False,#'col', #                      gridspec_kw={'width_ratios': [1, 1]})                       gridspec_kw={'width_ratios': [20, 1]})     ax = np.ravel(ax)       # Charge values     ax[0].set_title('cells, %')     #charge_p = [c/c.max() if c.sum() else np.zeros(len(c)) for c in charge_arr]     charge_p = charge_arr     sns.heatmap(np.array(charge_p), vmin=0, vmax=max_charge, cmap=charge_pal,                   xticklabels=np.remainder(time_vec, 24), ax=ax[0],                 cbar_ax=ax[1])     # set colorbar text     ax[0].set_xticks(xticks)     ax[0].set_xticklabels(xlabels)       # Status     ax[2].set_title('Status')     cbar_kws = { 'ticks': [ np.arange(-.5, 7.5, 1)]}                  #'values': [[ 'N/A', '0', '1', '2', '3', '4', '5', '6']] }       sns.heatmap(status_arr, vmin=-1, vmax=7, cmap=status_pal,                   xticklabels=np.remainder(time_vec, 24), ax=ax[2],                 cbar_ax=ax[3], cbar_kws=cbar_kws)     ax[2].set_xticks(xticks)     ax[2].set_xticklabels(xlabels)     plt.show() #    # Power draw     ax[4].set_title('Magnetic flux intensity')     ax[4].plot(charge_arr[charge_arr.sum(1) > 0].T, color='k', alpha=.3)     ax[4].set_title('Total Loss gain') #    ax[4].plot(P_arr.sum(0))     xstep = np.arange(len(time_vec) + 1)#((time_vec, time_vec[-1:] + step))     ystep = P_arr.sum(0)     ystep = np.concatenate((ystep, ystep[-1:]))     ax[4].step(xstep, ystep, where='post')     ax[4].plot(tissuevector, 'k-.', alpha=.5)     ax[4].set_xticks(xticks)     ax[4].set_xticklabels(xlabels)     plt.show()     ax[4].grid()     ax[4].set_ylim(0)     ax[4].set_xlim(min(xticks), max(xticks))     fig.tight_layout()     return fig

[shane1236]

NO response